Jaeil Ahn

Adept at leveraging advanced statistical analyses and machine learning techniques to drive research and clinical trial success, my tenure at Georgetown University showcased my ability to transform complex data into actionable insights. Skilled in SAS, R, and Python, I excel in collaborative environments, enhancing team efficiency and project outcomes through innovative data-driven strategies.

Consultant, Department of Biostatistics, Georgetown University, 09/01/2013, Current, Performed advanced statistical analyses for research on multiple projects, including hypothesis testing, power calculation, clinical study design, regression modeling, and risk factor analysis., Analysis of electronic health record data from cancer and epidemiological research using various types of endpoint variables such as time to event, objective response, and cancer-rate, and multinomial/categorical responses., Analysis of health-related quality of life data such as physical function, cognitive function, sleep, pain, depression, social function, anxiety using multi-level or linear mixed effects models, latent-class/latent profile analyses., Missing data analysis in the longitudinal study using the pattern mixture model/selection model and multiple imputation., Interrupted time series regression for evaluating the population level intervention effect., Development of Phase I, Phase II, Phase III oncological/neuroscience clinical trials., Application of Machine learning methods such as Lasso and Random Forest for cancer diagnosis., Analysis of Overall Survival, Progression Free Survival, and Treatment-free Survival using the area under the curve., Development of diagnostic tools/assays using RNAseq and microarray and analysis of receiver-operating characteristics (ROC) and the area under the curve., Identification of genetic characteristics/ancestral decomposition using Genome-wide association analysis of SNP and copy-number data., Analysis using Cancer-Registry data/SEER data., Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Paravertebral vs. PECS block study for patients undergoing bilateral mastectomy with tissue expander placement., 2018, Elizabeth Wilson, MD, New York Veterinary Specialty Center, Radial torsion in dogs with medial compartment disease., 2018, Emanouil P. Petkov, MS, Kentfield Hospital, CA, The High Prevalence of Undiagnosed Diaphragmatic Dysfunction among Prolonged Mechanical Ventilation Patients: A Retrospective Analysis., 2019, Alex Barchuk, MD, Hackensack Hospital, NJ, Noa Biran, Rena Feinman, David Siegel, Scott Rowley, Robert Korngold, David Vesole, MD, A phase 2 study of daratumumab with lenalidomide or pomalidomide in combination with all-trans retinoic acid in patients with relapsed or refractory multiple myeloma., Severe Infections and Antibiotic Use Negatively Impact Progression Free and Overall Survival of Multiple Myeloma Patients Undergoing Autologous Stem Cell Transplantation., Pembrolizumab the anti-PD-1 monoclonal antibody + Lenalidomide + Dexamethasone following Autologous Stem Cell Transplant in Patients with High-Risk Multiple Myeloma: A Phase II Study., Elotuzumab with lenalidomide and dexmathasone as Post-Autologous Stem Cell transplant Consolidation in Patients with High-Risk Myeloma., Martin Gutierrez, MD, Eli Gourna Paleoudis, PhD, A phase 1 and 2 study of daratumumab with pomalidomide in combination with all-trans retinoic acid in patients with relapsed or refractory multiple myeloma., Dante Descalzi and Robert Korngold, PhD/MD, Malignant metastasis in brain tumor., Megan Tracy, PhD, AroMa therapy for Blood and Marrow Transplant Patients (AMBIENT).

https://www.ncbi.nlm.nih.gov/myncbi/jaeil.ahn.1/bibliography/public/, https://scholar.google.com/citations?user=T3AhgXwAAAAJ&hl=en

• Machine Learning – Lasso/Elasticnet/Random Forest/Gradient Boosting
• Clinical Trial Design and Analysis – Phase I/II/III
• Power Calculation and Experiment Design
• Linear Modeling and Regression Analysis
• Multivariate Analysis – Principal Component and Latent Class Analysis
• Generalized Linear Models and Analysis
• Mixed Effects and Multilevel Models
• Gene Expression – RNAseq, microarray data Analysis
• Numerical Analysis and Statistical Computing
• Genome-wide Association Study
• Electronic health record data analysis
• Time to event endpoint analysis – Cox Hazard regression
• Analysis of variance, Analysis of Covariance, Repeated-measure ANOVA
• Bayesian Variable Selection and Spatial Data analysis
• Analysis of Quality of life measures

Citizenship: U.S. Citizen